https://github.com/piras-s/braincancerclassifier
Classifying brain tumors using Gaussian Naive Bayes with MRI-derived features. Includes feature selection, model evaluation, prediction uncertainty, and probability calibration.
https://github.com/piras-s/braincancerclassifier
baysian-inference calibrated-classification classification data-visualization feature-selection machine-learning medical-imaging naive-bayes-classifier python scikit-learn uncertainty-estimation
Last synced: about 2 months ago
JSON representation
Classifying brain tumors using Gaussian Naive Bayes with MRI-derived features. Includes feature selection, model evaluation, prediction uncertainty, and probability calibration.
- Host: GitHub
- URL: https://github.com/piras-s/braincancerclassifier
- Owner: Piras-S
- License: gpl-2.0
- Created: 2025-03-23T19:53:23.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-23T20:02:45.000Z (over 1 year ago)
- Last Synced: 2025-03-23T20:35:43.113Z (over 1 year ago)
- Topics: baysian-inference, calibrated-classification, classification, data-visualization, feature-selection, machine-learning, medical-imaging, naive-bayes-classifier, python, scikit-learn, uncertainty-estimation
- Language: Jupyter Notebook
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0